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Original Articles

On Statistical Design of the Cumulative Quantity Control Chart for Monitoring High Yield Processes

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Pages 1911-1928 | Received 19 Apr 2009, Accepted 06 Oct 2009, Published online: 31 Mar 2011

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Zahra Jalilibal, Mohammad Hassan Ahmadi Karavigh, Amirhossein Amiri & Michael B. C. Khoo. (2023) Run rules schemes for statistical process monitoring: a literature review. Quality Technology & Quantitative Management 20:1, pages 21-52.
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N. Kumar, S. Chakraborti & A. C. Rakitzis. (2017) Improved Shewhart-Type Charts for Monitoring Times Between Events. Journal of Quality Technology 49:3, pages 278-296.
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Athanasios C. Rakitzis. (2016) Monitoring exponential data using two-sided control charts with runs rules. Journal of Statistical Computation and Simulation 86:1, pages 149-159.
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S. K. Khilare & D. T. Shirke. (2014) The Steady-State Performance of Cumulative Count of a Conforming Control Chart Based On Runs Rules. Communications in Statistics - Theory and Methods 43:15, pages 3135-3147.
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Articles from other publishers (5)

Sotiris Bersimis, Markos V. Koutras & Athanasios C. Rakitzis. 2019. Handbook of Scan Statistics. Handbook of Scan Statistics 1 32 .
Sajid Ali. (2017) Time-between-events control charts for an exponentiated class of distributions of the renewal process. Quality and Reliability Engineering International 33:8, pages 2625-2651.
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Sajid Ali, Antonio Pievatolo & Rainer Göb. (2016) An Overview of Control Charts for High-quality Processes. Quality and Reliability Engineering International 32:7, pages 2171-2189.
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Quintana Alicia Esther, Pisani María Virginia & Casal Ricardo Néstor. (2015) Desempeño de cartas de control estadístico con límites bilaterales de probabilidad para monitorear procesos Weibull en mantenimiento. Ingeniería, Investigación y Tecnología 16:1, pages 143-156.
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Jung-Tai Chen. (2014) A Shewhart-type Control Scheme to Monitor Weibull Data without Subgrouping. Quality and Reliability Engineering International 30:8, pages 1197-1214.
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